ArticleJACC. Asia2022
Clinical and Predictive Value of Computed Tomography Angiography in High-Altitude Pulmonary Hypertension.
Article in JACC. Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Identification of pulmonary hypertension with pulmonary vascular surface volume ratio by non-contrast CT.BMC cardiovascular disorders · 2026Article
- The ultrastructural characterization and immunophenotypic features of telocytes in the myocardium and aortic bulb of young and adult Tibetan sheep.BMC veterinary research · 2026Article
- Diagnosis model for assessing chronic thromboembolic pulmonary hypertension in high-altitude pulmonary embolism patients: a machine learning approach.Frontiers in medicine · 2025Article
- A novel clinical prediction scoring system of high-altitude pulmonary hypertension.Frontiers in cardiovascular medicine · 2023Article
- Multi-Imaging Modality Facilitates Screening of Pulmonary Hypertension at High Altitude.JACC. Asia · 2022Article
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: High-altitude pulmonary hypertension (HAPH), as the group 3 pulmonary hypertension, has been less studied so far. The limited medical conditions in the high-altitude plateau are responsible for the delay of the clinical management of HAPH. Objectives: This study aims to identify the imaging characteristics of HAPH and explore noninvasive assessment of mean pulmonary arterial pressure (mPAP) based on computed tomography angiography (CTA). Methods: Twenty-five patients with suspected HAPH were enrolled. Right heart catheterization (RHC) and pulmonary angiography were performed. Echocardiography and CTA image data were collected for analysis. A multivariable linear regression model was fit to estimate mPAP (mPAP Results: Patients with HAPH showed slow blood flow and coral signs in lower lobe pulmonary artery in pulmonary arteriography, and presented trend for dilated pulmonary vessels, enlarged right atrium, and compressed left atrium in CTA ( Conclusions: Noninvasive mPAP estimation model based on CTA image data can accurately fit mPAP
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